A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring

A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring

ObjectiveNon-invasive methods for hemoglobin (Hb) monitoring can provide additional and relatively precise information between invasive measurements of Hb to help doctors' decision-making. We aimed to develop a new method for Hb monitoring based on mask R-CNN and MobileNetV3 with eye images as...

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Bibliographic Details
Main Authors: Xiao-yan Hu, Yu-jie Li, Xin Shu, Ai-lin Song, Hao Liang, Yi-zhu Sun, Xian-feng Wu, Yong-shuai Li, Li-fang Tan, Zhi-yong Yang, Chun-yong Yang, Lin-quan Xu, Yu-wen Chen, Bin Yi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Medicine
Subjects:
continuous hemoglobin monitoring
deep learning
semantic segmentation
mask R-CNN
MobileNetV3
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1151996/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1151996/full

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